Literature DB >> 23438706

A high physical symptom count reduces the effectiveness of treatment for depression, independently of chronic medical conditions.

Klaas M L Huijbregts1, Fransina J de Jong, Harm W J van Marwijk, Aartjan T F Beekman, Herman J Adèr, Christina M van der Feltz-Cornelis.   

Abstract

AIM: To assess to what extent a high physical symptom count influences the effect of treatment for major depressive disorder (MDD), and whether or not actual comorbid medical conditions explain this relationship.
METHOD: Secondary data-analysis on a cluster-randomized trial in primary care, comparing the effectiveness of collaborative care with care as usual (CAU). MDD was measured using the PHQ-9. The Physical Symptoms Questionnaire (PSQ) was filled out at baseline by 115 patients (77.2% of those who entered the trial). Multilevel logistic regression models were used to test whether a high physical symptom count predicted lack of response to treatment, adding interaction terms to test differential effects on collaborative care versus CAU.
RESULTS: A high physical symptom count negatively influenced the effect of both collaborative care and care as usual (no interaction). Specifically, a high physical symptom count predicted lack of response in both conditions at 3 (odds ratio=6.8), 6 (OR=4.1), and 9 months follow-up (OR=6.4). This was not explained by chronic physical illness.
CONCLUSION: In this RCT, patients with MDD accompanied by a high physical symptom count benefited less from treatment for MDD in primary care, regardless of the type of treatment (either collaborative care or CAU). This was not explained by the presence of comorbid medical conditions. Further research is needed to improve treatment for MDD accompanied by a high physical symptom count, although collaborative care for depression is still more effective than CAU for this group of patients. TRIAL REGISTRATION: Dutch trial register ISRCTN15266438.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23438706     DOI: 10.1016/j.jpsychores.2013.01.004

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  4 in total

1.  Prevalence and Correlation of Anxiety, Insomnia and Somatic Symptoms in a Chinese Population During the COVID-19 Epidemic.

Authors:  Yuanyuan Huang; Yanxia Wang; Lingyun Zeng; Jiezhi Yang; Xiuli Song; Wenwang Rao; Hehua Li; Yuping Ning; Hongbo He; Ting Li; Kai Wu; Fengjuan Chen; Fengchun Wu; Xiangyang Zhang
Journal:  Front Psychiatry       Date:  2020-08-28       Impact factor: 4.157

2.  Medically unexplained and explained physical symptoms in the general population: association with prevalent and incident mental disorders.

Authors:  Jonna van Eck van der Sluijs; Margreet Ten Have; Cees Rijnders; Harm van Marwijk; Ron de Graaf; Christina van der Feltz-Cornelis
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

3.  Are multiple physical symptoms a poor prognostic factor or just a marker of depression severity? Secondary analysis of the GenPod trial.

Authors:  Amy Green; Andrew Crawford; Katherine S Button; Nicola Wiles; Tim J Peters; David Nutt; Glyn Lewis
Journal:  J Affect Disord       Date:  2014-04-04       Impact factor: 4.839

4.  Differences in the Association of Anxiety, Insomnia and Somatic Symptoms between Medical Staff and the General Population During the Outbreak of COVID-19.

Authors:  Yuanyuan Huang; Yongjie Zhou; Yi Wei; Lingyun Zeng; Jiezhi Yang; Yi Li; Xiuli Song; Hehua Li; Hongbo He; Ting Li; Kai Wu; Mingzhe Yang; Fengchun Wu; Yuping Ning; Xiangyang Zhang
Journal:  Neuropsychiatr Dis Treat       Date:  2021-06-14       Impact factor: 2.570

  4 in total

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